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- 저자 : Tugcu, Tuna (검색결과 4 건)
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Charehsaz Mohammad,Tugcu Gulcin,Aydin Ahmet 한국독성학회 2021 Toxicological Research Vol.37 No.3
This study aimed to obtain necessary toxicological data using experimental and computational methods for the calculation of a common permitted daily exposure (PDE) which can be relevant for nicotinic acid and its esters and nicotinamide according to European Medicines Agency Guideline on setting health-based exposure limits. PDE calculation is mainly based on critical toxicological endpoints. During this procedure, critical toxicological endpoints data of an active pharmaceutical ingredient (API) may not be able to find satisfactorily. Hence, using toxicological data for another API that has a similar chemical structure can be a useful way. In this study, toxicological endpoints of nicotinic acid and its esters and nicotinamide were evaluated. Then, the data gaps in the toxicological endpoints were filledusing the read-across approach. Based on the current existing data, nicotinic acid and its esters and also nicotinamide are not genotoxic and do not have skin sensitization potential. These compounds do not present a concern for carcinogenicity and developmental/reproductive toxicity. Based on these critical endpoints and available experimental data, the final PDE of 10 mg/day was calculated for all category members. Our study showed the utility of the read-across for PDE calculation of APIs with experimental toxicological data gap.
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Three-Dimensional Channel Characteristics for Molecular Communications With an Absorbing Receiver
Yilmaz, H. Birkan,Heren, Akif Cem,Tugcu, Tuna,Chan-Byoung Chae IEEE 2014 IEEE Communications Letters Vol.18 No.6
<P>Within the domain of molecular communications, researchers mimic the techniques in nature to come up with alternative communication methods for collaborating nanomachines. This letter investigates the channel transfer function for molecular communications via diffusion. In nature, information-carrying molecules are generally absorbed by the target node via receptors. Using the concentration function, without considering the absorption process, as the channel transfer function implicitly assumes that the receiver node does not affect the system. In this letter, we propose a solid analytical formulation and analyze the signal metrics (attenuation and propagation delay) for molecular communication via diffusion channel with an absorbing receiver in a 3-D environment. The proposed model and the formulation match well with the simulations without any normalization.</P>
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Intelligent Network Data Analytics Function in 5G Cellular Networks using Machine Learning
Salih Sevgican,Meriç Turan,Kerim Gökarslan,H. Birkan Yilmaz,Tuna Tugcu 한국통신학회 2020 Journal of communications and networks Vol.22 No.3
5G cellular networks come with many new features compared to the legacy cellular networks, such as network data analytics function (NWDAF), which enables the network operatorsto either implement their own machine learning (ML) based dataanalytics methodologies or integrate third-party solutions to theirnetworks. In this paper, the structure and the protocols of NWDAFthat are defined in the 3rd Generation Partnership Project (3GPP)standard documents are first described. Then, cell-based syntheticdata set for 5G networks based on the fields defined by the 3GPPspecifications is generated. Further, some anomalies are added tothis data set (e.g., suddenly increasing traffic in a particular cell),and then these anomalies within each cell, subscriber category,and user equipment are classified. Afterward, three ML models,namely, linear regression, long-short term memory, and recursiveneural networks are implemented to study behaviour informationestimation (e.g., anomalies in the network traffic) and network loadprediction capabilities of NWDAF. For the prediction of networkload, three different models are used to minimize the mean absoluteerror, which is calculated by subtracting the actual generated datafrom the model prediction value. For the classification of anomalies, two ML models are used to increase the area under the receiver operating characteristics curve, namely, logistic regressionand extreme gradient boosting. According to the simulation results, neural network algorithms outperform linear regression innetwork load prediction, whereas the tree-based gradient boosting algorithm outperforms logistic regression in anomaly detection. These estimations are expected to increase the performance of the5G network through NWDAF.
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Akkaya, Ali,Yilmaz, H. Birkan,Chan-Byoung Chae,Tugcu, Tuna IEEE 2015 IEEE COMMUNICATIONS LETTERS Vol.19 No.2
<P>The performance of molecular communication is significantly impacted by the reception process of the messenger molecules. The receptors' size and density, however, have yet to be investigated. In this letter, we analyze the effect of receptor density and size on the signal reception of an absorbing receiver with receptors. The results show that, when the total receptor area is the same, better hitting probability is achieved by using a higher number of relatively small receptors. In addition, deploying receptors, which cover a small percentage of the receiver surface, is able to create an effective communication channel that has a detectable signal level.</P>
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